Spatial-Temporal Error Detection Scheme for Video Transmission over Noisy Channels

Error detection plays an important role in an error- robust video decoder. In this paper, a spatial-temporal error detection scheme for a video decoder is proposed. By considering inherently spatial and temporal similarities in video sequences, the visually corrected macroblocks in the decoded frames are detected by employing a set of error detection procedures, where one cross-boundary similarity index and one cross-frame similarity index are defined for spatial and temporal error detection, respectively. An adaptive threshold scheme is also proposed to make the proposed error detection method suitable for different video sequences. After being integrated with an H.264 decoder with error concealment techniques, the video quality improvement of 0.5-2.4 dB in PSNR is achieved. This method can also be integrated with other video codecs to improve the decoded video quality over noisy channels.